# -*- coding: utf-8 -*-
from datetime import timedelta

from jms.dim.dim_network_whole_massage import jms_dim__dim_network_whole_massage
from jms.dwd.oms.dwd_yl_oms_oms_waybill_incre_dt import jms_dwd__dwd_yl_oms_oms_waybill_incre_dt
from jms.dwd.tab.dwd_tab_barscan_arrival_base_dt import jms_dwd__dwd_tab_barscan_arrival_base_dt
from jms.dwd.tab.dwd_tab_barscan_collect_base_dt import jms_dwd__dwd_tab_barscan_collect_base_dt
from jms.dwd.tab.dwd_tab_barscan_deliver_base_dt import jms_dwd__dwd_tab_barscan_deliver_base_dt
from jms.dwd.tab.dwd_tab_barscan_difficult_base_dt import jms_dwd__dwd_tab_barscan_difficult_base_dt
from jms.dwd.tab.dwd_tab_barscan_other_base_dt import jms_dwd__dwd_tab_barscan_other_base_dt
from jms.dwd.tab.dwd_tab_barscan_send_base_dt import jms_dwd__dwd_tab_barscan_send_base_dt
from jms.dwd.tab.dwd_tab_barscan_sign_base_dt import jms_dwd__dwd_tab_barscan_sign_base_dt
from jms.dwd.tab.dwd_tab_barscan_taking_base_dt import jms_dwd__dwd_tab_barscan_taking_base_dt
from jms.dim.tab.dim_tab_forfeit_config_new import jms_dim__dim_tab_forfeit_config_new
from jms.time_sensor.time_after_07_00 import time_after_07_00
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator

jms_dm__dm_upload_in_time_detail_dt = SparkSqlOperator(
    task_id='jms_dm__dm_upload_in_time_detail_dt',
    task_concurrency=1,
    pool_slots=1,
    master='yarn',
    retries=2,
    execution_timeout=timedelta(hours=3),
    email=['guoruiling@jtexpress.com','yl_bigdata@yl-scm.com'],
    name='jms_dm__dm_upload_in_time_detail_dt_{{ execution_date | cst_ds }}',
    sql='jms/dm/dm_upload_in_time_detail_dt/execute.hql',
    driver_memory='4G',
    driver_cores=4,
    executor_cores=4,
    executor_memory='8G',
    num_executors=40,
    conf={
        'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
        'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
        #'spark.dynamicAllocation.maxExecutors': 100,  # 动态资源最大扩容 Executor 数
          'spark.dynamicAllocation.maxExecutors': 42,  # 动态资源最大扩容 Executor 数
        'spark.dynamicAllocation.cachedExecutorIdleTimeout': 120,  # 动态资源自动释放闲置 Executor 的超时时间(s)
        'spark.executor.memoryOverhead': '4G',  # 堆外内存
        'spark.hadoop.hive.exec.dynamic.partition.mode': 'nonstrict', # 动态分区
        'spark.hadoop.hive.exec.dynamic.partition': 'true',
        'spark.yarn.maxAppAttempts':1,
        'spark.sql.shuffle.partitions': 300,
        'spark.executor.extraJavaOptions': '-XX:+UseG1GC -XX:ParallelGCThreads=4 -XX:ConcGCThreads=2',
    },
    hiveconf={'hive.exec.dynamic.partition': 'true',
              'hive.exec.dynamic.partition.mode': 'nonstrict',
              'hive.exec.max.dynamic.partitions.pernode': 200,
              'hive.exec.max.dynamic.partitions': 200
              },
    yarn_queue='pro',
)

jms_dm__dm_upload_in_time_detail_dt  << [
    jms_dwd__dwd_tab_barscan_sign_base_dt,
    jms_dwd__dwd_tab_barscan_other_base_dt,
    jms_dwd__dwd_tab_barscan_deliver_base_dt,
    jms_dwd__dwd_tab_barscan_difficult_base_dt,
    jms_dim__dim_network_whole_massage,
    jms_dwd__dwd_tab_barscan_collect_base_dt,
    jms_dwd__dwd_yl_oms_oms_waybill_incre_dt,
    jms_dwd__dwd_tab_barscan_send_base_dt,
    jms_dwd__dwd_tab_barscan_arrival_base_dt,
    jms_dwd__dwd_tab_barscan_taking_base_dt,
    jms_dim__dim_tab_forfeit_config_new,
    time_after_07_00
]
 